I'm trying to learn how to use PennyLane's CVNeuralNetLayers. I wrote this code below but I am not able to use the resulting state of the circuit generated by this layer. I looked for examples in the documentation but found nothing.
I already tried to change the device to "default.qubit" but a similar error occurs. Is it possible to visualize the resulting state of this layer? Should i change the pennylane device?
from pennylane.templates.layers import CVNeuralNetLayers from pennylane import numpy as np import pennylane as qml dev = qml.device('lightning.qubit', wires=4) n_layers = 1 n_wires = 4 shapes = CVNeuralNetLayers.shape(n_layers, n_wires) weights = [np.random.random(shape) for shape in shapes] @qml.qnode(dev) def circuit(weights): CVNeuralNetLayers(*weights, wires=[0, 1, 2, 3]) return qml.state() print("\n\n", qml.draw(circuit, expansion_strategy="lightning")(weights)) ket = circuit(weights) print("\nResulting State: ", ket)
The output is:
DeviceError: Gate Beamsplitter not supported on device lightning.qubit